<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yestino - The Signal · Lakebase Search State-of-the-art</title><link>https://yestino.com/entities/lakebase-search-state-of-the-art-f3e61a</link><description>Every event involving Lakebase Search State-of-the-art</description><language>en</language><atom:link href="https://yestino.com/entities/lakebase-search-state-of-the-art-f3e61a/feed.xml" rel="self" type="application/rss+xml"/><item><title>Lakebase Search: State-of-the-art full text and vector search for Postgres</title><link>https://yestino.com/events/lakebase-search-state-of-the-art-full-text-and-vector-search-d5f1ab</link><guid isPermaLink="true">https://yestino.com/events/lakebase-search-state-of-the-art-full-text-and-vector-search-d5f1ab</guid><pubDate>Mon, 28 Sep 2026 20:04:33 GMT</pubDate><description>Traditional OLTP systems weren&apos;t built for the search demands of AI agents.
Sources: Databricks Blog</description></item></channel></rss>